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Vectorizing for loop in Python

I have the following for loop:
for i in range(len(F_all)):
for j in range(len(F_all)):
for k in range(len(F_all)):
F_all[i,j,k]=[i,j,k].sum()

Each value of F_all needs to be summed. It is a F matrix. How can I transform this to use vectorization?

You can use np.einsum and broadcast to get the values across the three dimensions.
np.einsum(‘ijk,ijk->i’,F_all, F_all, out=F_all)

Or to get each value summed, you can use einsum on each dimension and cumsum.
out = np.cumsum(np.einsum(‘ijk,ijk->i’,F_all, F_all, out=F_all))

Instead of explicitly broadcasting, you
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